Evaluation of age and gender dependences of the rate of strontium elimination 25-45 years after intake: analysis of data from residents living along the Techa river

• Published in: Radiation research Vol. 159; no. 2; p. 239
• Main Authors: Shagina, N B, Tolstykh, E I, Zalyapin, V I, Degteva, M O, Kozheurov, V P, Tokareva, E E, Anspaugh, L R, Napier, B A
• Format: Journal Article
• Language: English
• Published: United States 01.02.2003
• Subjects: Adult; Age Factors; Aged; Aging - physiology; Bone and Bones - pathology; Bone and Bones - radiation effects; Female; Humans; Male; Metabolic Clearance Rate; Middle Aged; Russia; Sex Characteristics; Strontium - pharmacokinetics; Time Factors; Water Pollution, Radioactive - statistics & numerical data; Whole-Body Counting; Russia
• ISSN: 0033-7587; 1938-5404
• DOI: 10.1667/0033-7587(2003)159[0239:EOAAGD]2.0.CO;2

The Mayak Production Association released large amounts of 90Sr into the Techa River with peak amounts in 1950-1951. Residents near the Techa River ingested an average of approximately 3,000 kBq of 90Sr. The affected people have been followed by scientists at the Urals Research Center for Radiation Medicine. The whole-body content of 90Sr of approximately 15,000 individuals has been measured over a period of 24 years (1974-1997) using a special whole-body counter. This report evaluates the gender and age dependences of individual rates of strontium elimination. Data on persons who had been measured 12 or more times were selected for study. There were 108 men and 81 women older than 30 years who met this criterion. Individual measurement results were fitted to an exponential function and grouped mean averages of the rate of strontium elimination as a function of age for each sex were derived. For men, a significant increase (from 2.8% year(-1) to 3.2% year(-1)) in the rate of strontium elimination after age 55 years is seen. For women, the increase in the rate of elimination was significant at age 45 and reached 5.8% year(-1) after the age of 60. The results may be used to develop a gender- and age-dependent model of strontium metabolism.